In case any of you or your students could be interested in joining, King’s College London is hosting a virtual talk with Catherine D’Ignazio and Lauren Klein on their Data Feminism book, Wed 17th March, 4:30 PM – 5:30 PM (UK). Further details copied below. Please feel free to forward to those who might be interested! ## DATA FEMINISM: A Talk with Catherine D'Ignazio & Lauren Klein ## When? Wed 17th March, 4:30 PM – 5:30 PM (UK) ## Registration: http://data-feminism-launch.eventbrite.co.uk/ ## Book: http://datafeminism.io/ As data are increasingly mobilized in the service of governments and corporations, their unequal conditions of production, their asymmetrical methods of application, and their unequal effects on both individuals and groups have become increasingly difficult for data scientists--and others who rely on data in their work--to ignore. But it is precisely this power that makes it worth asking: "Data science by whom? Data science for whom? Data science with whose interests in mind?" These are some of the questions that emerge from what we call data feminism, a way of thinking about data science and its communication that is informed by the past several decades of intersectional feminist activism and critical thought. Illustrating data feminism in action, this talk will show how challenges to the male/female binary can help to challenge other hierarchical (and empirically wrong) classification systems; it will explain how an understanding of emotion can expand our ideas about effective data visualization; how the concept of invisible labor can expose the significant human efforts required by our automated systems; and why the data never, ever “speak for themselves.” The goal of this talk, as with the project of data feminism, is to model how scholarship can be transformed into action: how feminist thinking can be operationalized in order to imagine more ethical and equitable data practices. DDH and Informatics are taking the Data Feminism book as an opportunity to explore broader collaborations between students and staff in our respective departments around how feminist perspectives can enrich our work with and about data. Students and staff in attendance will be invited to continue conversations, activities and exploring possible collaborations after the event. All are welcome to join this event. Registration for guests who are not students or staff at King’s will close 24 hours before the event to so that they can be added to the live streaming system in advance. Event Format: 30 min book talk + 30 min Q&A. Catherine D'Ignazio Catherine D’Ignazio is a scholar, artist/designer and hacker mama who focuses on feminist technology, data literacy and civic engagement. She has run reproductive justice hackathons<https://kanarinka.github.io/makethebreastpumpnotsuck/>, designed global news recommendation systems, created talking and tweeting water quality sculptures, and led walking data visualizations to envision the future of sea level rise. With Rahul Bhargava, she built the platform Databasic.io<https://databasic.io/en/>, a suite of tools and activities to introduce newcomers to data science. Her 2020 book from MIT Press, Data Feminism, co-authored with Lauren Klein, charts a course for more ethical and empowering data science practices. Her research at the intersection of technology, design & social justice has been published in the Journal of Peer Production, the Journal of Community Informatics, and the proceedings of Human Factors in Computing Systems (ACM SIGCHI). Her art and design projects have won awards from the Tanne Foundation, Turbulence.org<http://turbulence.org/> and the Knight Foundation and exhibited at the Venice Biennial and the ICA Boston. D’Ignazio is an Assistant Professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT. She is also Director of the Data + Feminism Lab which uses data and computational methods to work towards gender and racial equity, particularly in relation to space and place. Lauren Klein Lauren Klein is an associate professor in the departments of English and Quantitative Theory & Methods at Emory University, where she also directs the Digital Humanities Lab<https://dhlab.lmc.gatech.edu/>. Before moving to Emory, she taught in the School of Literature, Media, and Communication at Georgia Tech. Klein works at the intersection of digital humanities, data science, and early American literature, with a research focus on issues of gender and race. She has designed platforms for exploring the contents of historical newspapers<https://dh2018.adho.org/tome-a-topic-modeling-tool-for-document-discovery-and-exploration/>, modeled the invisible labor of women abolitionists<https://drive.google.com/file/d/1RvcTMegIw0sd9qV4XAIrU83Ud5558CSR/view>, and recreated forgotten visualization schemes with fabric and addressable LEDs<https://dhlab.lmc.gatech.edu/category/floorchart/>. In 2017, she was named one of the “rising stars in digital humanities<https://www.insidehighered.com/digital-learning/article/2017/08/02/rising-stars-digital-humanities>” by Inside Higher Ed. She is the author of An Archive of Taste: Race and Eating in the Early United States<https://www.upress.umn.edu/book-division/books/an-archive-of-taste> (University of Minnesota Press, 2020) and, with Catherine D’Ignazio, Data Feminism<http://datafeminism.io/> (MIT Press, 2020). With Matthew K. Gold, she edits Debates in the Digital Humanities<https://dhdebates.gc.cuny.edu/>, a hybrid print-digital publication stream that explores debates in the field as they emerge. Her current project, Data by Design: An Interactive History of Data Visualization, 1786-1900<http://dataxdesign.io/>, was recently funded by an NEH-Mellon Fellowship for Digital Publication. Organizers: Hana Kopecka, Yiwen Xing, Alfie Abdul-Rahman, Jonathan Gray, Victoria Baines, Marielle Düh. This is a joint event organised by the Department of Informatics<https://www.kcl.ac.uk/informatics> and the Department of Digital Humanities (DDH)<https://www.kcl.ac.uk/ddh> at King's College London. It is part of the Informatics Women in Science Seminar Series and the DDH Public Seminar Series on "critical inquiry with and about the digital"<https://blogs.kcl.ac.uk/ddh/events/> (which previously hosted a talk on the book before it was published, in May 2018). -- Jonathan Gray | jonathangray.org<http://jonathangray.org/> | @jwyg<http://twitter.com/jwyg> Lecturer in Critical Infrastructure Studies Department of Digital Humanities King’s College London Co-Founder, Public Data Lab<http://publicdatalab.org/> Recent publications (more here<https://jonathangray.org/publications/>): * Bounegru, L. & Gray, J. (eds.) (forthcoming 2021) The Data Journalism Handbook: Towards a Critical Data Practice<https://www.aup.nl/en/book/9789462989511/the-data-journalism-handbook>. Amsterdam: Amsterdam University Press. * Gray, J. (2020) “The Datafication of Forests? From the Wood Wide Web to the Internet of Trees.”<https://jonathangray.org/2020/05/22/critical-zones-exhibition/> In Bruno Latour and Peter Weibel (eds.) Critical Zones: The Science and Politics of Landing on Earth<https://mitpress.mit.edu/books/critical-zones>. Cambridge, MA: MIT Press. * Eve, M. & Gray, J. (eds.) (2020) Reassembling Scholarly Communications: Histories, Infrastructures, and Global Politics of Open Access<https://mitpress.mit.edu/books/reassembling-scholarly-communications>. Cambridge, MA: MIT Press. ✨Open access chapters available here<https://jonathangray.org/2020/10/20/new-book-reassembling-scholarly-communications-mit-press/> ✨ * Gray, J. (2020) “The Data Epic: Visualisation Practices for Narrating Life and Death at a Distance”<http://doi.org/10.2307/j.ctvzgb8c7.25> in H. Kennedy and M. Engebretsen (eds) Data Visualization in Society<https://www.aup.nl/en/book/9789463722902/data-visualization-in-society>. Amsterdam: Amsterdam University Press. * Gray, J., Bounegru, L. & Venturini, T. (2020) ‘Fake news’ as infrastructural uncanny<https://journals.sagepub.com/doi/10.1177/1461444819856912>. New Media & Society. * Gray, J. (2019). Data Witnessing: Attending to Injustice with Data in Amnesty International’s Decoders Project<https://www.tandfonline.com/doi/full/10.1080/1369118X.2019.1573915>. Information, Communication & Society.